Lambda Lambda Vector
Geekbench AI Score
1399
Single Precision Score
1410
Half Precision Score
1658
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | July 08 2025 09:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 7960X 24-Cores |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Lambda Lambda Vector |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7960X 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 5.36 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
919
171.0 IPS |
|
|
Image Classification (HP)
|
100% |
916
170.3 IPS |
|
|
Image Classification (Q)
|
99% |
1476
275.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1418
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2454
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2474
2.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
3969
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (HP)
|
100% |
1071
84.9 IPS |
|
|
Object Detection (Q)
|
85% |
1754
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
1250
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1242
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
2199
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1288
9.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1272
9.80 IPS |
|
|
Depth Estimation (Q)
|
63% |
1687
15.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2587
3.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2572
3.31 IPS |
|
|
Style Transfer (Q)
|
98% |
5189
6.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1276
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
984
1.31 KIPS |
|
|
Text Classification (Q)
|
92% |
659
884.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2614
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2581
44.5 IPS |
|
|
Machine Translation (Q)
|
58% |
667
15.7 IPS |
